Solution Architect
- Capgemini
- 7 - 11 years
- Bengaluru
- 12 days ago
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Job Description
- Develop, maintain, and optimize data pipelines using Apache Airflow, Python, and Google Composer.
- Integrate and manage Google Cloud services including GCS, CloudFunctions, and Cloud Run.
- Design scalable and efficient data solutions while ensuring best practices in architecture.
- Maintain documentation, perform quality checks, and ensure dataintegrity and validation.
- Oversee deployments, support UAT/production issues, and ensurepipeline reliability and performance.
- Strong experience in data engineering with expertise in Python and Airflow-based pipeline development.
- Hands-on experience with Google Cloud services such as GCS, Cloud Functions, Cloud Run, and Composer.
- Solid understanding of data modeling, data quality, and pipeline monitoring.
- Experience in deploying and supporting data solutions across UAT and production environments.
- Strong problem-solving skills, documentation practices, and stakeholder communication.
- Opportunity to work on cloud-native data engineering solutions using Google Cloud technologies.
- Exposure to modern orchestration, serverless, and containerized architectures.
- Collaborate with global teams on scalable and high-performance data platforms.
- Work on impactful projects ensuring data reliability, quality, and business value.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Bengaluru
Keyskills: Solution Architect Airflow Data Engineering Data Pipelines C Architecture Cloud Services Apache Stakeholder Communication Data Platforms Design Apache Airflow Data Quality Cloud Technologies Cloud Data Modeling Cloud Native Python
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